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Aeris Communications

Global IoT network operator for M2M

DevOps Lead

DevOps EngineeringUpdated on Nov 11
Full-timeBucharest, Romania

About the Job

Requirements

  • Senior experience in DevOps, Cloud, Platform Engineering, Site Reliability Engineering, or infrastructure automation, including production ownership.
  • Hands-on cloud experience, preferably Google Cloud Platform; Linux; Kubernetes, ideally Google Kubernetes Engine; and infrastructure as code such as Terraform.
  • Experience with continuous integration and continuous delivery, Git-based delivery, Jenkins, and GitOps principles; familiarity with FluxCD or Argo CD.
  • Strong scripting and development skills, especially Python, including REST APIs and programmatic system integrations.
  • Experience with monitoring, logging, and troubleshooting using tools such as Prometheus, Grafana, Loki, ELK, or cloud-native observability.
  • Practical experience building or integrating large language model-powered tools or AI-assisted automation, demonstrated through delivered work or meaningful personal projects.
  • Understanding of production incident response, secure automation, reliability, and safe change management at scale.
  • Professional proficiency in English for collaboration with global teams.

Responsibilities

  • Design, build, and maintain automation that removes repetitive operational tasks and increases the efficiency and consistency of DevOps and Site Reliability Engineering workflows.
  • Develop AI-assisted tools and agent-based workflows for incident triage, troubleshooting, knowledge retrieval, operational reporting, and runbook assistance.
  • Connect large language model services and internal systems through APIs and orchestration tooling, with validation, access controls, auditability, and human approval for sensitive actions.
  • Improve continuous integration and continuous delivery, GitOps, infrastructure as code, cloud platform tooling, security controls, and observability.
  • Own improvements from proof of concept through production, assessing reliability, adoption, and measurable operational impact.
  • Collaborate across Software Operations and Engineering to identify valuable automation opportunities and enable practical AI adoption.
  • Help maintain the reliability, performance, security, and availability of production cloud services.
  • Troubleshoot incidents, support deployments and changes, contribute to root-cause analysis, and prevent recurring issues.
  • Participate in a scheduled on-call rotation, including response outside normal working hours when rostered.
  • Balance engineering improvements and operational responsibilities, with an approximate 70/30 allocation between engineering improvements, automation, and AI initiatives versus production operations; prioritize improvements and establish sustainable boundaries for operational work with the manager.

Desired Qualifications

  • Experience with large language model APIs, agent/tool-calling, retrieval-augmented generation, Model Context Protocol, or orchestration tools such as LibreChat and n8n.
  • Experience with Google Cloud Platform-native services, Cloud Build, Secret Manager, cloud networking, PostgreSQL, or Redis.
  • Familiarity with messaging systems such as Kafka, MQTT, or RabbitMQ; ingress; and security tooling such as NGINX or Cloud Armor.

About the Company

Aeris Communications

Global IoT network operator for M2M

Aeris Communications provides wireless connectivity services for machine-to-machine (M2M) and Internet of Things (IoT) devices. It runs a software-defined IoT network that manages and secures device communications, enabling devices to stay connected across borders and networks. The platform supports a global footprint, with devices deployed in many countries, and is designed for reliability in mission-critical applications. Compared to competitors, Aeris expanded rapidly by acquiring Ericsson’s IoT Accelerator and Connected Vehicle Cloud, boosting its device base from about 15 million to over 100 million across 190 countries and giving it a larger, more integrated IoT ecosystem. The company’s goal is to enable scalable, secure, and globally available IoT connectivity for customers in sectors like automotive telematics, fleet management, and utilities, helping them deploy and manage devices and data at scale.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Santa Clara, CA
Founded
1992

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